[jira] [Created] (SPARK-19311) UDFs disregard UDT type hierarchy

["Gregor Moehler (JIRA)" <ji...@apache.org>]

Gregor Moehler created SPARK-19311:
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             Summary: UDFs disregard UDT type hierarchy
                 Key: SPARK-19311
                 URL: https://issues.apache.org/jira/browse/SPARK-19311
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.1.0
            Reporter: Gregor Moehler


When you define UDTs based on hierarchical traits UDFs disregard the type hierarchy:

E.g. I have 2 UDTs based on 2 hierarchical traits. I then define 2 UDFs: The first one returns the derived type, the second takes the base type. This results in an error, although i believe it should be feasible:

(...)cannot resolve 'UDF(UDF(22))' due to data type mismatch: argument 1 requires exampleBaseType type, however, 'UDF(22)' is of exampleFirstSubType type.

The reason is that DataType defines
override private[sql] def acceptsType(dataType: DataType) =
    this.getClass == dataType.getClass

However I believe it should be:

override private[sql] def acceptsType(dataType: DataType) = dataType match {
    case other: UserDefinedType[_] =>
      this.getClass == other.getClass ||
        this.userClass.isAssignableFrom(other.userClass)
    case _ => false
  }



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